Intelligent fuse comprising monitoring module
By performing time consistency verification and matching on the temperature and current signals of the fuse, abnormal interference is eliminated. Combined with temperature change analysis, the gradual characteristics before the fuse blows can be identified in advance, solving the problem of early warning lag in the existing technology and improving the safety and reliability of the equipment.
Patent Information
- Application Number
- CN202610143567.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-02
- Publication Date
- 2026-03-10
- Estimated Expiration
- 2046-02-02
AI Technical Summary
Existing condition monitoring technologies struggle to distinguish between normal and abnormal trends in current fluctuations and lack time correlation analysis, resulting in fuses remaining in an unidentifiable state for extended periods before tripping, leading to delayed early warnings, accumulated safety risks, and distorted equipment reliability assessments.
By collecting the fuse element temperature and current signals, performing analog-to-digital conversion, and generating a synchronous monitoring sequence, the mean and standard deviation of the current sampling values are analyzed using a sliding window to eliminate abnormal interference. Combined with temperature change characteristics, the coupling offset is calculated to generate optimized fuse monitoring results.
It enables early identification of abnormal trends in fuses, improves the continuity of early warning and the reliability of operational decisions, reduces misjudgments, and supports continuous updates of status assessment.